code: def load_obs_label_dict(path):
      if not path:
          return {}
      with open(path, "r") as f:
          obs_labels = [line.rstrip() for line in f]
      return {c: i for i, c in enumerate(obs_labels)}
  
imports: import collections
  import io
  import json
  import librosa
  import numpy
  import soundfile
  import time
  import torch
  from scipy.io.wavfile import read
  from .text import SOS_TOK, EOS_TOK
label_desc: Use image node_id 7 for calling a global function with example usage: load_obs_label_dict(path) and returns: unknown, dict